DocumentCode
2692711
Title
Configuration discovery and monitoring middleware for enterprise datacenters
Author
Agarwala, Sandip ; Bathen, Luis A. ; Jadav, Divyesh ; Routray, Ramani
Author_Institution
Almaden Res. Center, IBM, San Jose, CA, USA
fYear
2010
fDate
19-23 April 2010
Firstpage
639
Lastpage
646
Abstract
Automatic discovery and monitoring of IT resources is a critical part of enterprise systems management. In addition to ascertaining internal device configurations, this discovery process may also need to capture the capabilities, usage, connectivity, availability, and other information related to various IT components. Systems resource management (SRM) tools typically implement this discovery process using device specific APIs, custom agents and/or some standard-based solution (like WBEM and CIM). The discovery actions need to be systematically planned; an inefficient implementation or scheduling may easily take from a few minutes to several hours to complete in a large heterogeneous enterprise datacenter. This paper discusses the various challenges associated in discovering the configuration of a datacenter environment and presents an autonomic configuration monitoring middleware called Magellan that builds upon industry best practices and standards. Magellan reduces the overall discovery time by more than 50% in our micro-benchmark experiments as well as in a large datacenter configuration of a major financial organization.
Keywords
business data processing; computer centres; configuration management; middleware; monitoring; scheduling; IT resources; Magellan; automatic discovery; autonomic configuration monitoring middleware; configuration discovery; enterprise datacenters; enterprise systems management; financial organization; scheduling; systems resource management; Computer integrated manufacturing; Disaster management; Enterprise resource planning; Environmental management; Hardware; Middleware; Monitoring; Resource management; Scalability; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Operations and Management Symposium (NOMS), 2010 IEEE
Conference_Location
Osaka
ISSN
1542-1201
Print_ISBN
978-1-4244-5366-5
Electronic_ISBN
1542-1201
Type
conf
DOI
10.1109/NOMS.2010.5488423
Filename
5488423
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